mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2025-10-29 08:41:22 +00:00
dcb2ed4826
* Use events instead of clFinish, where possible * OpenCL: Don't load gpu layers into RAM, add mul_f32 kernel * Reduce queueing overhead for contiguous tensors by using single mul kernel call * Adapt to #1612 cl_mem malloc changes * Reduce code duplication between cuda and opencl branches * Improve implementation
25 lines
861 B
C
25 lines
861 B
C
#pragma once
|
|
|
|
#include "ggml.h"
|
|
|
|
#ifdef __cplusplus
|
|
extern "C" {
|
|
#endif
|
|
|
|
void ggml_cl_init(void);
|
|
|
|
void ggml_cl_mul(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
|
|
bool ggml_cl_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
|
|
size_t ggml_cl_mul_mat_get_wsize(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
|
|
void ggml_cl_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst, void * wdata, size_t wsize);
|
|
|
|
void * ggml_cl_host_malloc(size_t size);
|
|
void ggml_cl_host_free(void * ptr);
|
|
|
|
void ggml_cl_transform_tensor(struct ggml_tensor * tensor);
|
|
void ggml_cl_load_data(const char * fname, struct ggml_tensor * tensor, size_t offset);
|
|
|
|
#ifdef __cplusplus
|
|
}
|
|
#endif
|